The Surface Hydrology Points (Regional) dataset provides a set of related features classes to be used as the basis of the production of consistent hydrological information. This dataset contains a geometric representation of major hydrographic point elements - both natural and artificial. This dataset is the best available data supplied by Jurisdictions and aggregated by Geoscience Australia it is intended for defining hydrological features.

Manila Lidar Project 2011 Resupply of data from Fugro Spatial. Lidar coverage updated for seperate classification of water and bare earth. This dataset will be superseded with a new surfaces recognising water classification and hydro flatening.

The first edition ACE - Australian Continental Elements dataset is a GIS representation of the lithosphere fabrics of the Australian plate, interpreted from linear features and associated discontinuities in the gravity anomaly map of continental Australia (Bacchin et al., 2008; Nakamura et al., 2011) and the global marine gravity dataset compiled from satellite altimetry (Sandwell & Smith, 2009). It should be used in context with these input data sources, at scales no more detailed than the nominal scale of 1:5 000 000.

Geoscience Australia is supporting the exploration and development of offshore oil and gas resources and establishment of Australia's national representative system of marine protected areas through provision of spatial information about the physical and biological character of the seabed. Central to this approach is prediction of Australia's seabed biodiversity from spatially continuous data of physical seabed properties. However, information for these properties is usually collected at sparsely-distributed discrete locations, particularly in the deep ocean. Thus, methods for generating spatially continuous information from point samples become essential tools. Such methods are, however, often data- or even variable- specific and it is difficult to select an appropriate method for any given dataset. Improving the accuracy of these physical data for biodiversity prediction, by searching for the most robust spatial interpolation methods to predict physical seabed properties, is essential to better inform resource management practises. In this regard, we conducted a simulation experiment to compare the performance of statistical and mathematical methods for spatial interpolation using samples of seabed mud content across the Australian margin. Five factors that affect the accuracy of spatial interpolation were considered: 1) region; 2) statistical method; 3) sample density; 4) searching neighbourhood; and 5) sample stratification by geomorphic provinces. Bathymetry, distance-to-coast and slope were used as secondary variables. In this study, we only report the results of the comparison of 14 methods (37 sub-methods) using samples of seabed mud content with five levels of sample density across the southwest Australian margin. The results of the simulation experiment can be applied to spatial data modelling of various physical parameters in different disciplines and have application to a variety of resource management applications for Australia's marine region.

Note: A more recent version of this product is available. This dataset contains the high voltage electricity transmission lines that make up the electricity transmission network in Australia. For government use only. Access through negotiation with Geoscience Australia

This digital data package comprises all available 1:100 000 scale first edition and unpublished preliminary geological maps of the Mount Isa Inlier, Murphy Tectonic Ridge, South Nicholson Basin and southern McArthur Basin. It also includes parts of the Mount Drummond and Lawn Hill 1:250 000 sheets which have not been mapped at 1:100 000 scale. The complete data set covers 19 full, 5 combined and 4 part 100,000 scale map sheets. All faults within this area have been coded uniquely to facilitate metallogenic analysis. The data, currently version 2.1, can be downloaded and comprises either MapInfo or Arcinfo/Arcview formats. For Arcview, unique legends have been created for the geology layers of each individual dataset, uniform across the whole of the Mount Isa dataset.

Geoscience Australia undertakes classification of biophysical datasets to create seabed habitat maps (termed 'seascapes') for the Australian margin and adjacent sea floor. Seascapes describe a layer of ecologically meaningful biophysical properties that spatially represents potential seabed habitats. Each seascape area corresponds to a region of the seabed that contains similar biophysical properties and, by association, potential habitats and communities. The lack of available standardised biological data at the national scale precludes the integration of biological information into the derivation of national seascapes. By focusing on a much smaller scale over tens of kilometres near the Glomar Shoals in Western Australia, referred to as 'local scale', available biological data were integrated into new derivations of seascapes and results compared with seascapes without these data. Using physical data as described in Whiteway et al. 2007 (GA Record 2007/11) and demersal fish data obtained from the 1967 Russian Berg-3 survey, we have derived four new local sets of seascape to compare the effects of integrating biological data: 1) Standard seascapes using only physical data, 2) Seascapes with an additional biology layer based on the Shannon diversity index, 3) Seascapes with an additional biology layer based on the Simpson diversity index, and 4) Seascapes with an additional layer of randomly-generated data. At the 'regional-scale' we derived two sets of seascapes: 1) Seascapes with an additional biology layer based on the Shannon diversity index that encompasses the entire Berg-3 survey area in northwest Australia, and 2) Standard seascapes using only physical data for the same area. This datsets is the regional scale northwest Australian seascape produced with a biological layer called the 'Shannon Diversity Index'.

This dataset contains point, line and polygon topographic and cultural data for the Cocos (Keeling) Islands. Coverage is of Home and West Islands. To view a sample of the data showing the ArcView legend click here.

This layer shows the location of Ramsar wetlands on Christmas Island. It wss provided by Christmas Island National Park staff in 2012 as a shapefile.

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